المصدر: | المجلة العراقية لتكنولوجيا المعلومات |
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الناشر: | الجمعية العراقية لتكنولوجيا المعلومات |
المؤلف الرئيسي: | Hasoon, Jamal Nasir (Author) |
مؤلفين آخرين: | Hassan, Rehab F. (Co-Author) |
المجلد/العدد: | مج9, ع4 |
محكمة: | نعم |
الدولة: |
العراق |
التاريخ الميلادي: |
2019
|
الصفحات: | 134 - 145 |
DOI: |
10.34279/0923-009-004-011 |
ISSN: |
1994-8638 |
رقم MD: | 1030332 |
نوع المحتوى: | بحوث ومقالات |
اللغة: | الإنجليزية |
قواعد المعلومات: | HumanIndex |
مواضيع: | |
كلمات المؤلف المفتاحية: |
Big Data | Map | Reduce | Shuffle | Hadoop | HDFS | YARN | Internet of Things "IoT"
|
رابط المحتوى: |
المستخلص: |
Big data refer to the large volume of data, it can be analyzed for strategic Developing and better decisions. Big Data applications exaggerate in near few years because a traditional data techniques be limited specification. Various types of distributions and technologies used to suffer the Big Data challenges are developed. A survey of recent technologies are review for Big Data. The main technologies features are studied enable to extract knowledge from Big Data. Such distributions have some limitations and may differ in offerings and capacities. The used technologies face the increasing multi-streams and Big Data challenges. In this work review the big data technologies and challenge. |
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ISSN: |
1994-8638 |